NVIDIA today announced Jetson Orin Nano 2, a new robotics computer set to redefine entry-level edge AI—putting frontier-class generative AI performance in the hands of millions of developers. As AI models grow smaller and more efficient, more edge devices can become autonomous systems that understand context, interpret language and images, and act in real time. To bring these capabilities into physical machines like robots, delivery and inspection drones, and vision AI systems, developers need compact, energy-efficient robotics computers built for edge AI.

"Today's small and medium frontier models have reached the accuracy of last year's largest frontier models, unlocking real-time intelligence for edge devices," said Deepu Talla, vice president of robotics and edge AI at NVIDIA. "The Jetson Orin Nano 2 computer puts that breakthrough within reach of millions of developers, delivering the performance and energy efficiency needed for real-time reasoning at the edge." Cognex, Doosan Bobcat and Matic are among the first to adopt and explore Jetson Orin Nano 2.

Featuring 78 trillion operations per second of AI compute, 8 GB of memory and an 8-core Arm CPU, Jetson Orin Nano 2 delivers a significant leap in AI and video-processing performance. It achieves 2x the inference performance of Jetson Orin Nano Super through improved Tensor Cores and higher memory bandwidth, while maintaining the same compact form factor. In 15-watt mode, it consumes 40% less power to deliver the same performance as its predecessor.

More than 3 million developers are building on NVIDIA's robotics stack, and with Jetson Orin Nano 2, partners like Wing are bringing real-world edge AI applications to compact devices. Wing, a subsidiary of Alphabet, is using Jetson Orin Nano Super and plans to evaluate Jetson Orin Nano 2 for faster, safer delivery. Matic Robots is adopting Jetson Orin Nano 2 for home cleaning robots with conversational AI and autonomous cleaning.